Welcome to the InfoSci Platform
Reference Hub1
Geospatial Analysis of Land Loss, Land Cover Change, and Landuse Patterns of Kutubdia Island, Bangladesh

Geospatial Analysis of Land Loss, Land Cover Change, and Landuse Patterns of Kutubdia Island, Bangladesh

Munshi K. Rahman, Thomas W. Schmidlin, Mandy J. Munro-Stasiuk, Andrew Curtis
Copyright: © 2019 |Pages: 18
ISBN13: 9781522570332|ISBN10: 1522570330|EISBN13: 9781522570349
DOI: 10.4018/978-1-5225-7033-2.ch048
Cite Chapter Cite Chapter

MLA

Rahman, Munshi K., et al. "Geospatial Analysis of Land Loss, Land Cover Change, and Landuse Patterns of Kutubdia Island, Bangladesh." Environmental Information Systems: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2019, pp. 1080-1097. https://doi.org/10.4018/978-1-5225-7033-2.ch048

APA

Rahman, M. K., Schmidlin, T. W., Munro-Stasiuk, M. J., & Curtis, A. (2019). Geospatial Analysis of Land Loss, Land Cover Change, and Landuse Patterns of Kutubdia Island, Bangladesh. In I. Management Association (Ed.), Environmental Information Systems: Concepts, Methodologies, Tools, and Applications (pp. 1080-1097). IGI Global. https://doi.org/10.4018/978-1-5225-7033-2.ch048

Chicago

Rahman, Munshi K., et al. "Geospatial Analysis of Land Loss, Land Cover Change, and Landuse Patterns of Kutubdia Island, Bangladesh." In Environmental Information Systems: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1080-1097. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-7033-2.ch048

Export Reference

Mendeley
Favorite

Abstract

This study utilizes geospatial tools of remote sensing, geographical information systems (GIS), and global positioning system (GPS) to examine the land loss, land cover (LC) change, landuse of Kutubdia Island, Bangladesh. Multi-spectral Scanner (MSS), Thematic Mapper (TM), and Landsat8 OLI imageries were used for land cover change. For assessing the landuse patterns of 2012, spatial video data were collected by using contour GPS camera. Using remote sensing analysis three different land cover classes (water, trees and forest, and agriculture) were identified and land cover changes were detected from 1972 to 2013. The results show from 1972 to 2013, an estimated 9 km2 of land has been lost and significant changes have taken place from 1972 to 2013. Only an estimated .35 km2 area of accretion has taken place during the study period. Using GIS eight different landuse patterns were identified based on spatial video data.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.